Mary A. Cameron, Ph.D.

Data Scientist

MaryACameron at gmail.com

About

Mary A. Cameron is data scientist, trail runner, feminist, and former researcher and course instructor. She is passionate about social and environmental justice, empowerment through education, and doing the most good for all.

Education:
Ph.D. Atmosphere/Energy Program, Stanford University, 2011-2017
Dept. of Civil and Environmental Engineering, Advisor:
Mark Z. JacobsonThesis: The Evaluation and Development of Techniques Used to Model the Effects of Aircraft Emissions on Climate and Air Pollution
(Link).M.S. Computational and Mathematical Engineering, Stanford University, 2009-2011
B.S. Mathematics, Arizona State University, 2006-2009
Thesis: A mathematical model of angiogenesis in glioblastoma multiforme
(PDF).

Current Projects

P. Enevoldsen and M.A. Cameron

Cameron and Enevoldsen are creating a wind power resource map of Western Europe, using a high-resolution wind speed database to display onshore and offshore wind power potential. The overlays new turbine
exclusion zones by finding and aggregating locations around buildings, roads, railways, and nature preserves, so that project planners can reduce the time needed to locate new project sites.

Primary instructor for the introductory undergraduate/graduate Stanford engineering course. Course material incorporates news stories and social media posts
to teach students to recognize pervasive climate myths. Cameron is currently creating a website based on student feedback to explain climate science to non-scientists.

Research and outreach, 2014-2017

The Solutions Project unites science, economics, and social awareness to encourage the transition from fossil fuels to 100% clean, renewable energy. Research includes roadmaps for 50 U.S. states, 139
countries, and 33 cities to convert to 100% renewable energy for all purposes. In 2016, Cameron's work with Mark Z. Jacobson on grid reliability with 100% renewable energy received the Cozzarelli Prize from the Proceedings of the National
Academy of Sciences for “outstanding scientific excellence and originality.” A similar study exploring worldwide electric grid stability is currently in progress.

Data Science Fellow

Cameron uses web-scraping, database management, and machine learning to collect, validate, and fill missing data on >1.5 million social service providers for the Johego mobile application. This provides social workers and other public
servants with consolidated, up-to-date information on nearby charities, in order to minimize costly errors that harm vulnerable populations.

Publications

Cameron, M.A. (2017), The Evaluation and Development of Techniques Used to Model the Effects of Aircraft Emissions on Climate and Air Pollution, Stanford University Ph.D. Dissertation, available at
https://purl.stanford.edu/gw895bx0059.

Jacobson, M.Z. M.A. Delucchi, M.A. Cameron, and B.A. Frew (2015), A low-cost solution to the grid reliability problem with 100% penetration of intermittent wind, water, and solar for all purposes, Proceedings of the National Academy of Sciences,
112, doi: 10.1073/pnas.1510028112.
2016 Cozzarelli Prize from the Proceedings of the National Academy of
Sciences

Select Presentations

Presentations and Seminars

Seminar. Modeling the effects of aircraft emissions on climate and air pollution, Ph.D. Thesis defense public seminar,
Department of Civil and Environmental Engineering, Stanford University,
26 July 2016.